Description:

PyML is an interactive object oriented framework for machine learning in python with a focus on kernel methods.

Features:

• Classifiers: SVMs (wrapper for libsvm, native PyML solver), nearest neighbor classifiers, ridge regression
• Multi-class methods (one-against-one and one-against-rest)
• Feature selection (filter methods, RFE)
• Model selection
• Syntax for combining classifiers
• Methods for classifier assessment and support for good experimental design.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Unix

Data Formats: None

Tags: Support Vector Machines, Kernel Methods

Archive: download here

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